For experiments with different backbones: Conv6, ResNet10, and ResNet34 [1]}. Conv6 extended the Conv4 backbone to 6 convolutional layers, and max-pooling applied after each first 4 layers. ResNet models [2]} followed the same setup as [1]}.
